Control model–based reliability modeling and analysis of the human baroreflex regulation function

The steady state of the baroreflex regulation function (BRF) plays a critical role in the human body by maintaining stable blood pressure homeostasis. However, current research predominantly focuses on physiological indices without considering BRF steady-state performance. To address this gap and comprehensively examine BRF performance maintained in a steady state, this study analyzes BRF from the perspective of reliability and uses a belief reliability methodology to model BRF reliability systematically. Specifically, a BRF interdisciplinary model is constructed based on the control model, and four performance indices are defined. Multisource uncertainties affecting BRF are analyzed and quantified, allowing for the subsequent construction of a comprehensive reliability model. A simulation study is conducted and the corresponding model parameters are quantitatively analyzed from the perspectives of determinism, uncertainty, and performance thresholds. The results indicate the impact of parasympathetic function and external stimuli on BRF performance, providing a possible resource for disease diagnosis and health management.